Minimum Completion Time for Power-Aware Scheduling in Cloud Computing

Reducing power consumption has been an essential requirement for Cloud resource providers not only to decrease operating costs, but also to improve the system reliability. This paper tackles the problem of minimizing power consuming in data centers hosts and improving their load balancing simultaneously. Cloud computing based on the idea of offering services going to be executed on data centers. These data centers need huge amount of power if they are in the peak load or the tasks are not distributed efficiently in their machines. The paper presents an algorithm for task scheduling that lowering the power consuming and reducing the total data center load. An empirical study has been done to simulate the proposed algorithm, which is proved by the results.

I. Introduction

Most resource-intensive companies growing demand for high performance computing infrastructures. This issue has encouraged investing in large-scale datacenters that consume huge amount of electric power. R. Brown et al. in their report [1] estimates the cost of energy consumed by IT in infrastructures in US as 4.5 billion dollars and it is likely to double by 2011.